Akash Das

Description:
Designed a comprehensive analytics project using ICC Men’s international cricket data to evaluate team and player performance across formats (Test, ODI, T20). Cleaned and structured raw match-level datasets and performed analytical calculations to compare win percentages, rankings, run rates, and consistency metrics. Created insights to identify top-performing teams, performance trends over time, and format-wise dominance.

Key Analysis Performed:

• Team-wise match performance and win % analysis

• Format-wise comparison (Test vs ODI vs T20)

• Ranking trends and performance consistency

• Home vs Away performance analysis

Tools & Skills Used:
Advanced Excel , Data Cleaning, Aggregations, Joins, Window Functions, Trend Analysis, Sports Analytics

🔹 Key Analysis Performed

• Patient enrollment and screening analysis

• Study-wise and site-wise patient distribution

• Adverse event (AE) frequency and severity analysis

• Trial timeline tracking (planned vs actual milestones)

• Completion, dropout, and protocol deviation analysis

Safety Associate Trainee – Pharmacovigilance | IQVIA

At IQVIA, I worked in the pharmacovigilance domain, supporting global safety operations for pharmaceutical clients. My role involved processing and reviewing adverse event cases, ensuring data accuracy, regulatory compliance, and on-time submissions to health authorities.

This experience strengthened my analytical mindset, data validation skills, and understanding of regulated healthcare data, which later motivated my transition toward data analytics and healthcare analytics roles. I gained hands-on exposure to real-world clinical safety data, SOP-driven processes, and cross-functional collaboration in a global delivery environment.

• Former Pharmacovigilance Professional at IQVIA with strong experience in healthcare data validation, compliance, and analytical problem-solving.

• Analyzed and validated large volumes of clinical safety data, ensuring accuracy, consistency, and regulatory compliance.

• Applied data quality checks, trend identification, and structured documentation, building a strong foundation for healthcare analytics and reporting.

• Supported case processing workflows by reviewing, categorizing, and standardizing adverse event data for global submissions.

• Gained hands-on experience working with regulated datasets, strengthening attention to detail, analytical thinking, and process optimization skills.

• Developed strong exposure to real-world healthcare data, compliance frameworks, and operational KPIs, aligning with analytics-driven roles in healthcare and consulting.